TinyML: Rozdiel medzi revíziami
Z SensorWiki
| Riadok 19: | Riadok 19: | ||
** Edge Impulse https://docs.edgeimpulse.com/docs | ** Edge Impulse https://docs.edgeimpulse.com/docs | ||
** Queexo https://github.com/qeexo/Qeexo_AutoML_Arduino_Nano33BLE_pub | ** Queexo https://github.com/qeexo/Qeexo_AutoML_Arduino_Nano33BLE_pub | ||
| + | ** https://experiments.withgoogle.com/ | ||
'''Hardware''' | '''Hardware''' | ||
Verzia zo dňa a času 08:18, 24. august 2021
Postupne:
tinyML Talks
- Pete Warden: Getting started with TinyML https://youtu.be/soOM1F70Boc
- tinymlbook.com (prvych 6 kapitol zadarmo)
- Massimo Banzi: tiny machine learning with Arduino https://youtu.be/y7S_n1AT5sM
- tinyML Youtube Channel https://youtube.com/tinyML
- Massimo Banzi: Easy TinyML with Arduino: taking advantage of ML right where things are happening. (video)
- Recomended book https://www.oreilly.com/library/view/tinyml/9781492052036/
- Tutorials https://github.com/arduino/ArduinoTensorFlowLiteTutorials
- Hardware
- Arduino BLE Sense
- Arduino Portenta
- STM32
- Open MV + vyvojove prostredie https://openmv.io/
- AI for Embedded Systems by Fraunhofer aifes.ai https://www.ims.fraunhofer.de/en/Business-Unit/Industry/Industrial-AI/Artificial-Intelligence-for-Embedded-Systems-AIfES.html and https://blog.arduino.cc/2021/07/06/aifes-is-an-ai-ml-framework-written-in-c-for-even-the-smallest-microcontrollers/
- Edge Impulse https://docs.edgeimpulse.com/docs
- Queexo https://github.com/qeexo/Qeexo_AutoML_Arduino_Nano33BLE_pub
- https://experiments.withgoogle.com/
Hardware
- Arduino Nano 33 BLE Sense
- Arduino Portenta H7
- https://store.arduino.cc/portenta-h7 + vision shield
- Sparkfun Edge
- Adafruit
Software
- Main: https://www.tensorflow.org/lite/microcontrollers
- Arduino: Arduino Tensor Flow library with 4 builtin examples
- https://github.com/uTensor/uTensor/
- https://www.edgeimpulse.com/
- https://cartesiam.ai/
Aplikáce
Všeobecne o AI, teória a matematika